An automated statistical method to merge SAXS profiles from different concentrations and exposure times

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The compute cluster will be down for routine maintenance from June 23 until June 24. Most jobs will be queued until the cluster is back up.

Required inputs

Email (optional)
Number of times each profile has been recorded
Upload SAXS profile		Example input

Automatically determine profile order
Output data for parsed input files as well
Momentum transfer values are per	Angstrom	Nanometer

Advanced options

General
First line of output files is a header
Remove points with too large error bars
Remove high noise data if it is redundant
Output level
Stop after step
Cleanup (Step 1)
Type I error (before Bonferroni correction)
Fitting (Step 2)
Parameter set
Model comparison
Always compute error bars
Rescaling (Step 3)
Model
Classification (Step 4)
Type I error
Merging (Step 5)
Parameter set
Model comparison
Always compute error bars
Don't extrapolate at all, even at low angle

Expert options

General
Take q values from first input file
Number of evenly spaced q values to return for the mean
Cleanup step comes after rescaling step
Cleanup (Step 1)
Start discarding curve after qcut= (per Angstrom)
Fitting (Step 2)
Average over parameters instead of taking most probable set
Rescaling (Step 3)
Which input curve to rescale the others to
Number of points to use to compute gamma
Merging (Step 5)
Average over parameters instead of taking most probable set
Extrapolate NUM percent outside of the curve's bounds

Contact:

Note: this server is in beta, results might be bad!

If you use this server, please cite
Spill, Y. G., Kim, S. J., Schneidman-Duhovny, D., Russel, D., Webb, B., Sali, A. & Nilges, M. (2014). J. Synchrotron Rad. 21, 203–208.